Adaptive PID Control for the Air-Conditioning System in Spray-Paint Workshop Based on Fuzzy Logic

Article Preview

Abstract:

As the improvement of the modern workshop’s demand for cool supply, heating system, how to effectively manage the air-conditioning equipments to satisfy the production skills for air-conditioning system has become an important subject for modern workshop design. This paper comes from the No.1 motorcar company’s project about the automatic air-conditioning system of the car spray-paint workshop. For many reasons, the conventional PID control is difficult to satisfy the car spray-paint production’s strictly demands of the temperature, after a careful research of the object, we utilize the principle of fuzzy PID adaptive control to design a fuzzy PID controller, then put it into the air-conditioning heater’s controlling, through the practice, we find the controller has a good robust property and realized a good control result.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

5733-5738

Citation:

Online since:

January 2012

Authors:

Export:

Price:

[1] Wang huishan, Energy saving and optimization control of air conditioning systems in intelligent buildings, in Proceedings of 2005 Chinese Control and Decision Conference(Ⅰ), 2005, pp.951-954.

Google Scholar

[2] Tan Y Z, Shen J, Lv Z Z, Study of immune PID controller for superheated steam temperature control system, " in CSEE., 2002, 22(10): 148-152.

Google Scholar

[3] J. C. Moreira, Torque ripple minimization in switched reluctance motorsvia bi-cubic spline interpolation, " in Proc. IEEE-PESC Conf. Rec., 92, pp.851-856.

DOI: 10.1109/pesc.1992.254794

Google Scholar

[4] Liu Desheng, Yi Liming, She Longhua, Application offuzzy PID algorithm in maglev system [J], Computer Measurement & Control, 2002, 10 (6) : 375- 377.

Google Scholar

[5] Chen junhua, Chen guangjiu and Chen liqiong, Evaluation of the talents of oil companies based on fuzzy evaluation method, Journal of Southwest Petroleum University(Social Sciences Edition), China, vol. 2(1), p.11–14, (2009).

Google Scholar

[6] Hung J Y. Magnetic bearing control using fuzzy logic[J], IEEE Transaction on Industry Application, 1995, 31 : 1492 - 1497.

DOI: 10.1109/28.475746

Google Scholar

[7] ZHANG Li-juan, LI Zhou-jun and CHEN Huo-wang, A Classification Model Based on Fuzzy Integrated Estimation and Its Application, Computer Engineering & Science, China, vol. 27 (1), p.74–76, (2005).

Google Scholar

[8] James Carvajal a, Guanrong Chen b, Haluk Ogmen b, Fuzzy PID controller: Design, performance evaluation, and stability analysis, Information science, vol. 123: 3-4, pp.249-270, Apr. (2000).

DOI: 10.1016/s0020-0255(99)00127-9

Google Scholar

[9] Zhi Wei Woo, Hung Yuan Chung, Jin Jye Lin, A PID type fuzzy controller with self-tuning scaling factors, Fuzzy Sets and systems, vol. 115: 2, pp.321-326, Oct. (2000).

DOI: 10.1016/s0165-0114(98)00159-6

Google Scholar

[10] Wang Lixin, A course in fuzzy systems & fuzzy control [M], Beijing: Tsinghua University Press, 2006 (in Chinese). TABLE II. Fuzzy variables of E and EC Var -6 -5 -4 -3 -2 -1.

Google Scholar

[1] [2] [3] [4] [5] [6] NB.

Google Scholar

[1] 0. 5.

Google Scholar

[0] [0] [0] [0] [0] [0] [0] [0] [0] [0] NM.

Google Scholar

[1] 0. 5.

Google Scholar

[0] [0] [0] [0] [0] [0] [0] [0] NS.

Google Scholar

[0] [0] 0. 5.

Google Scholar

[1] 0. 5.

Google Scholar

[0] [0] [0] [0] [0] [0] Z0.

Google Scholar

[0] [0] [0] [0] 0. 5.

Google Scholar

[1] 0. 5.

Google Scholar

[0] [0] [0] [0] PS.

Google Scholar

[0] [0] [0] [0] [0] [0] 0. 5.

Google Scholar

[1] 0. 5.

Google Scholar

[0] [0] PM.

Google Scholar

[0] [0] [0] [0] [0] [0] [0] [0] 0. 5.

Google Scholar

[1] 0. 5.

Google Scholar

[0] [0] [0] [0] [0] [0] [0] [0] [0] [0] 0. 5.

Google Scholar

[1] TABLE III. Kp, Ki, Kd fuzzy control rules ec e NB NM NS ZO PS PM PB NB PB/PB/PM PB/PB/Z0 PB/PM/Z0 PB/PM/Z0 PB/PS/Z0 PB/PM/Z0 PM/PM/PS NM PM/PM/PM PM/PM/Z0 PM/PM/Z0 PM/PS/Z0 PM/PS/Z0 PM/PS/PS PM/PM/PM NS PM/PS/PB PM/PS/PS PM/PS/PS PS/PS/Z0 PS/PS/PS PS/PS/PM PS/PS/PB ZO PS/PS/PB PS/PS/PM PS/PS/Z0 Z0/Z0/Z0 PS/PS/Z0 PS/PS/PM PS/PS/PB PS PS/PS/PB PS/PS/PM PS/PS/PS PS/PS/Z0 PM/PS/PS PM/PS/PS PM/PS/PB PM PM/PM/PM PM/PS/PS PM/PS/Z0 PM/PS/Z0 PM/PM/Z0 PM/PM/Z0 PM/PM/PM PB PM/PM/PS PB/PM/Z0 PB/PS/Z0 PB/PM/Z0 PB/PM/Z0 PB/PB/Z0 PB/PB/PM TABLE IV. practical control value of Kp Var -6 -5 -4 -3 -2 -1.

DOI: 10.1097/00000542-200009001-01187

Google Scholar

[1] [2] [3] [4] [5] [6] -6.

Google Scholar

[9] [9] [9] [9] [9] [9] [9] [9] [9] [9] [9] [8] [6] -5.

Google Scholar

[7] [7] [7] [7] [7] [7] [7] [7] [7] [7] [7] [7] [6] -4.

Google Scholar

[6] [6] [6] [6] [6] [6] [6] [6] [6] [6] [6] [6] [6] -3.

Google Scholar

[6] [6] [6] [6] [6] [5] [5] [5] [5] [5] [5] [5] [5] -2.

Google Scholar

[6] [6] [6] [6] [6] [5] [3] [3] [3] [3] [3] [3] [3] -1.

Google Scholar

[5] [5] [5] [5] [5] [4] [2] [2] [3] [3] [3] [3] [3] [0] [3] [3] [3] [3] [3] [2] [0] [2] [3] [3] [3] [3] [3] [1] [3] [3] [3] [3] [3] [2] [2] [4] [5] [5] [5] [5] [5] [2] [3] [3] [3] [3] [3] [3] [3] [5] [6] [6] [6] [6] [6] [3] [5] [5] [5] [5] [5] [5] [5] [5] [6] [6] [6] [6] [6] [4] [6] [6] [6] [6] [6] [6] [6] [6] [6] [6] [6] [6] [6] [5] [6] [7] [7] [7] [7] [7] [7] [7] [7] [7] [7] [7] [7] [6] [6] [8] [9] [9] [9] [9] [9] [9] [9] [9] [9] [9] 9.

Google Scholar